Entry level data entry clerk • maple ridge bc
At Amazon, we're working to be the most customer-centric company on earth.To get there, we need exceptionally talented, bright, and driven people.If you'd like to help us build the place to find an... Show more
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Leon’s is currently looking for a self-motivated.The ideal candidate is a problem solver with excellent attention to detail.Leon’s Furniture has locations from coast to coast, is Canadian owned, an... Show more
This Volunteer Placement is Located in:.Please submit a Spanish Resume and Statement of Interest.Open to Canadian Citizens and Permanent Residents of Canada only.Use your financial and strategic ex... Show more
The successful candidate can expect to work from 24- 30 hours per week, and must be available to work AM/PM, weekday and weekend shifts.The successful candidate will wear two hats and work as both ... Show more
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As directed by the Maintenance Manager and Supervisor, the Maintenance Coordinator is responsible for all procurement activities, parts inventory, goods receiving and coordination / supervision of ... Show more
At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history.
Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements.
The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools.
Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate.
Key job responsibilities
- Development of data collection processes and data management systems
- Maintenance of data integrity (0% error rate)
- Designing of queries, compiling of data, and generation of reports in MS Excel
- Charting and graphing of data for reporting purposes
- In depth research of defect trends
- Data collection and entry as needed
- Data mining and problem solving
- Back up for Process Assistant duties
BASIC QUALIFICATIONS
- 2+ years of professional or military experience
- Work 40 hours/week, and overtime as required
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Are 18 years of age or older
- 2+ years of business analyst, data analyst or an equivalent role experience
- 1+ years of using SQL to extract and manipulate data experience
- Bachelor's degree, or High school or equivalent diploma
- 2+ years of professional work experience, or experience in MS Office, with an emphasis on Excel
- Experience writing complex Excel VBA macros
- Experience in advanced SQL, Python, Tableau
- Experience demonstrating problem solving and root cause analysis
- Experience with modern software development, web development frameworks, APIs
- 1+ years of project management experience
PREFERRED QUALIFICATIONS
- 3+ years of business analyst, data analyst or similar role experience
- Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership
- Experience dealing well with ambiguity, prioritizing needs, and delivering measurable results in an agile environment
- Experience programming with at least one software programming language, or experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Knowledge of data warehousing and data modeling
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Bachelor's degree in Business, Engineering, Statistics, Computer Science, Mathematics, Supply Chain or related field.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
